Optimization in a distributed processing environment using genetic algorithms with multivariate crossover
Aaron H. Konstam, Stephen J. Hartley, William L. Carr · 1992
We set out to demonstrate the effectiveness of distributed genetic algorithms using multivariate crossover in optimizing a function of a sizable number of independent variables. Our results show that this algorithm has unique potential in optimizing such functions. The multivariate crossover meta-strategy, however, did not result in a singularly better performance of the algorithm than did simpler crossover strategies.